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September 2018

LIDS Seminar Series – Sewoong Oh

September 24, 2018 @ 4:00 pm - 5:00 pm

Sewoong Oh (University of Illinois, Urbana-Champaign)

32-155

LIDS Seminar Series Speaker: Sewoong Oh Affiliation: University of Illinois, Urbana-Champaign ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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Text as Data in Social Science: Discovery, Measurement and Causal Inference

September 25, 2018 @ 4:00 pm - 5:00 pm

Brandon Stewart (Princeton University)

32-141

Social scientists are increasingly turning to computer-assisted text analysis as a way of understanding the digital footprints left by communities and individuals. Much of the technology that powers these approaches is borrowed from the fields of computer science and statistics; yet, social scientists have substantially different goals. We focus on the development of methods that support three core tasks: discovery, measurement and causal inference with text. We introduce the Structural Topic Model (STM), a bayesian generative model of text which…

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Jingbo Liu

September 28, 2018 @ 11:00 am - 12:00 pm

MIT

E18-304

Abstract Concentration of measure refers to a collection of tools and results from analysis and probability theory that have been used in many areas of pure and applied mathematics. Arguably, the first data science application of measure concentration (under the name ‘‘blowing-up lemma’’) is the proof of strong converses in multiuser information theory by Ahlswede, G'acs and K"orner in 1976. Since then, measure concentration has found applications in many other information theoretic problems, most notably the converse (impossibility) results in…

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October 2018

Tselil Schramm

October 5, 2018 @ 11:00 am - 12:00 pm

Harvard University

MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.

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John Duchi

October 12, 2018 @ 11:00 am - 12:00 pm

Stanford University

MIT Statistics and Data Science Center host guest lecturers from around the world in this weekly seminar.

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Data Science and Big Data Analytics: Making Data-Driven Decisions

October 15, 2018

Developed by 10 MIT faculty members at IDSS, this seven-week course is specially designed for data scientists, business analysts, engineers and technical managers looking to learn strategies to harness data. Offered by MIT xPRO. Course begins Oct 15, 2018.

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LIDS Seminar Series – Augmented Lagrangians and Decomposition in Convex and Nonconvex Programming

October 15, 2018 @ 4:00 pm - 5:00 pm

Terry Rockafellar (University of Washington)

32-155

LIDS Seminar Series Speaker: Terry Rockafellar Affiliation: University of Washington Abstract: Multiplier methods based on augmented Lagrangians are attractive in convex and nonconvex programming for their stabilizing and even convexifying properties. They have widely been seen, however, as incompatible with taking advantage of a block-separable structure. In fact, when articulated in the right way, they can produce decomposition algorithms in which low-dimensional subproblems can be solved in parallel. Convergence in the nonconvex case is, of course, just local, but is…

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Can machine learning survive the artificial intelligence revolution?

October 16, 2018 @ 4:00 pm - 5:00 pm

Francis Bach (INRIA)

32-141

Abstract: Data and algorithms are ubiquitous in all scientific, industrial and personal domains. Data now come in multiple forms (text, image, video, web, sensors, etc.), are massive, and require more and more complex processing beyond their mere indexation or the computation of simple statistics, such as recognizing objects in images or translating texts. For all of these tasks, commonly referred to as artificial intelligence (AI), significant recent progress has allowed algorithms to reach performances that were deemed unreachable a few…

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Aukosh Jagannath

October 19, 2018 @ 11:00 am - 12:00 pm

Harvard University

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LIDS Seminar Series – Ayfer Ozgur Aydin

October 22, 2018 @ 4:00 pm - 5:00 pm

Ayfer Ozgur Aydin (Stanford University)

32-155

LIDS Seminar Series Speaker: Ayfer Ozgur Aydi Affiliation: Stanford University ____________________________________ The LIDS Seminar Series features distinguished speakers who provide an overview of a research area, as well as exciting recent progress in that area. Intended for a broad audience, seminar topics span the areas of communications, computation, control, learning, networks, probability and statistics, optimization, and signal processing. 

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